Alan Morris Eugene Kholmovski Josh Cates Rob MacLeod SCI InstituteCARMA Center University of Utah 2012 All Rights Reserved Learning Objective Inhomogeneity correction filter in Slicer ID: 318156
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Slide1
CARMA Inhomogeneity Correction Filter
Alan Morris, Eugene Kholmovski, Josh Cates, Rob MacLeod SCI Institute/CARMA CenterUniversity of Utah
© 2012, All Rights ReservedSlide2
Learning Objective
Inhomogeneity correction filter in Slicer© 2012,
All Rights ReservedSlide3
Current WorkflowOriginal (uncorrected) ImageBlood Pool Mask
Corrected ImageSlide4
Slicer
: Release 4.1http://www.slicer.org/pages/Downloads/Data: CARMA Slicer Extension Tutorial Datahttp://hdl.handle.net/1926/1765
Required Materials
©
2012,
All Rights ReservedSlide5
Additional Sample Data
60 patientshttp://hdl.handle.net/1926/1757Slide6
Pre-requisite Tutorial
© 2012, All Rights Reserved
http://www.slicer.org/slicerWiki/index.php/Documentation/4.0/TrainingSlide7
Platforms
© 2012, All Rights Reserved
DevelopedTestedSlide8
Overview
© 2012, All Rights Reserved
Load the moduleLoad the dataset
Inhomogeneity CorrectionSlide9
Loading the ModuleSelect View>Extension Manager in the menu bar (or push ⌘4)If the Extension Manager isn’t revealed, see the next 2 slides; otherwise, skip themSlide10
Loading the ModuleTo load the Extension Manager, Select Edit>Application Settings in the menu bar (or push ⌘2)Slide11
Loading the ModuleUnder the Extension menu, make sure ‘Enable extension manager’ is checkedSlide12
Loading the ModuleSelect CARMA in the sidebar and click the extensionsSlide13
Loading the ModuleRestart to install the extensionSlide14
Loading the DataSelect ‘Choose Directory to Add’ in the pop-up menuSlide15
Loading the DataSelect the directory containing your datasetSlide16
Loading the DataSlide17
Inhomogeneity CorrectionInput volumes{
Output volumeA black image the same size as the input image was used as the ROI in this exampleThe input image and blood pool mask have been cropped in this example.Slide18
Inhomogeneity CorrectionApply the filterSlide19
Inhomogeneity CorrectionViewer automatically updates to show the resulting corrected outputSlide20
ConclusionThis module can be used for local inhomogeneity correction in cardiac MRI image volumes.